An implementation of Linear Mixed Model, a statistical model that promotes sparse variable selection in the presence of correlated and linearly dependent variables.
Project description
The author of this package has not provided a project description
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
sparse_lmm-1.2.tar.gz
(132.6 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
sparse_lmm-1.2-py3-none-any.whl
(10.0 kB
view details)
File details
Details for the file sparse_lmm-1.2.tar.gz.
File metadata
- Download URL: sparse_lmm-1.2.tar.gz
- Upload date:
- Size: 132.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.10.16
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2907fe01b8c8e24a86d57583e5738c456d39aef77d8a7b8cfcdefbfc870f86c6
|
|
| MD5 |
29eff3f52e8e68b60227001520394b97
|
|
| BLAKE2b-256 |
2d51e5aa614557f202b856f37981eaea102e47fd6276ca4cfc7d0fd2efcef197
|
File details
Details for the file sparse_lmm-1.2-py3-none-any.whl.
File metadata
- Download URL: sparse_lmm-1.2-py3-none-any.whl
- Upload date:
- Size: 10.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.10.16
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
50c2b10a4b9299e922ec40b62a1b72e9e8e55f1fe6194cb507aae5adea93cb62
|
|
| MD5 |
3bfe12921fe788be47fc3552fef46d2b
|
|
| BLAKE2b-256 |
0f09eda348cf2cebe2270d9e9c2ce7033b000f6927003ec49a6c1b4145b87435
|